Fetching the paper…
Reading the bibliography…
Oriented object detection, an emerging task in recent years, aims to identify and locate objects across varied orientations.
Heitz, G., Koller, D.: Learning spatial context: Using stuff to find things. In: ECCV (2008)
2008
Earlier work this paper cites.
Jain, V., Learned-Miller, E.: Fddb: A benchmark for face detection in unconstrained settings. Tech. rep., University of Massachusetts, Amherst (2010)
2010
Earlier work this paper cites.
Yao, C., Bai, X., Liu, W., Ma, Y., Tu, Z.: Detecting texts of arbitrary orientations in natural images. In: CVPR (2012)
2012
Earlier work this paper cites.
Karatzas, D., Shafait, F., Uchida, S., Iwamura, M., i Bigorda, L.G., Mestre, S.R., Mas, J., Mota, D.F., Almazan, J.A., De Las Heras, L.P.: Icdar 2013 robust reading competition. In: ICDAR (2013)
2013
Earlier work this paper cites.
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: Microsoft coco: Common objects in context. In: ECCV (2014)
2014
Earlier work this paper cites.
Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: Towards real-time object detection with region proposal networks. In: NeurIPS (2015)
2015
Earlier work this paper cites.
He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR (2016)
2016
Earlier work this paper cites.
Liu, Z., Wang, H., Weng, L., Yang, Y.: Ship rotated bounding box space for ship extraction from high-resolution optical satellite images with complex backgrounds. GRSL (2016)
2016
Earlier work this paper cites.
Yang, S., Luo, P., Loy, C.C., Tang, X.: Wider face: A face detection benchmark. In: CVPR (2016)
2016
Earlier work this paper cites.
Lin, T.Y., Goyal, P., Girshick, R., He, K., Dollár, P.: Focal loss for dense object detection. In: CVPR (2017)
2017
Earlier work this paper cites.
Huang, G., Chen, D., Li, T., Wu, F., Van Der Maaten, L., Weinberger, K.Q.: Multi-scale dense networks for resource efficient image classification. In: ICLR (2018)
2018
Earlier work this paper cites.
Woo, S., Park, J., Lee, J.Y., Kweon, I.S.: Cbam: Convolutional block attention module. In: ECCV (2018)
2018
Earlier work this paper cites.
Xia, G.S., Bai, X., Ding, J., Zhu, Z., Belongie, S., Luo, J., Datcu, M., Pelillo, M., Zhang, L.: Dota: A large-scale dataset for object detection in aerial images. In: CVPR (2018)
2018
Earlier work this paper cites.
Ding, J., Xue, N., Long, Y., Xia, G.S., Lu, Q.: Learning roi transformer for oriented object detection in aerial images. In: CVPR (2019)
2019
Earlier work this paper cites.
Hansen, C., Hansen, C., Alstrup, S., Simonsen, J.G., Lioma, C.: Neural speed reading with structural-jump-lstm. In: ICLR (2019)
2019
Earlier work this paper cites.
Yang, X., Yang, J., Yan, J., Zhang, Y., Zhang, T., Guo, Z., Sun, X., Fu, K.: Scrdet: Towards more robust detection for small, cluttered and rotated objects. In: ICCV (2019)
2019
Earlier work this paper cites.
Chen, Z., Chen, K., Lin, W., See, J., Yu, H., Ke, Y., Yang, C.: Piou loss: Towards accurate oriented object detection in complex environments. In: ECCV (2020)
2020
Earlier work this paper cites.
Xu, Y., Fu, M., Wang, Q., Wang, Y., Chen, K., Xia, G.S., Bai, X.: Gliding vertex on the horizontal bounding box for multi-oriented object detection. TPAMI (2020)
2020
Earlier work this paper cites.
Yuan, Y., Chen, X., Wang, J.: Object-contextual representations for semantic segmentation. In: ECCV (2020)
2020
Earlier work this paper cites.
Zhang, S., Chi, C., Yao, Y., Lei, Z., Li, S.Z.: Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection. In: CVPR (2020)
2020
Earlier work this paper cites.
2021
Earlier work this paper cites.
Ding, J., Xue, N., Xia, G.S., Bai, X., Yang, W., Yang, M.Y., Belongie, S., Luo, J., Datcu, M., Pelillo, M., et al.: Object detection in aerial images: A large-scale benchmark and challenges. TPAMI 44
2021
Earlier work this paper cites.
Guo, Z., Liu, C., Zhang, X., Jiao, J., Ji, X., Ye, Q.: Beyond bounding-box: Convex-hull feature adaptation for oriented and densely packed object detection. In: CVPR (2021)
2021
Earlier work this paper cites.
Han, J., Ding, J., Li, J., Xia, G.S.: Align deep features for oriented object detection. TGARS (2021)
2021
Earlier work this paper cites.
Han, J., Ding, J., Xue, N., Xia, G.S.: Redet: A rotation-equivariant detector for aerial object detection. In: CVPR (2021)
2021
Earlier work this paper cites.
Han, Y., Huang, G., Song, S., Yang, L., Wang, H., Wang, Y.: Dynamic neural networks: A survey. TPAMI (2021)
2021
Earlier work this paper cites.
Han, Y., Huang, G., Song, S., Yang, L., Zhang, Y., Jiang, H.: Spatially adaptive feature refinement for efficient inference. TIP (2021)
2021
Earlier work this paper cites.
Ming, Q., Miao, L., Zhou, Z., Song, J., Yang, X.: Sparse label assignment for oriented object detection in aerial images. Remote Sensing (2021)
2021
Earlier work this paper cites.
Ming, Q., Zhou, Z., Miao, L., Zhang, H., Li, L.: Dynamic anchor learning for arbitrary-oriented object detection. In: AAAI (2021)
2021
Cited alongside, same era.
Qian, W., Yang, X., Peng, S., Yan, J., Guo, Y.: Learning modulated loss for rotated object detection. In: AAAI (2021)
2021
Cited alongside, same era.
Wang, Y., Chen, Z., Jiang, H., Song, S., Han, Y., Huang, G.: Adaptive focus for efficient video recognition. In: ICCV (2021)
2021
Cited alongside, same era.
Wang, Y., Huang, R., Song, S., Huang, Z., Huang, G.: Not all images are worth 16x16 words: Dynamic transformers for efficient image recognition. In: NeurIPS (2021)
2021
Cited alongside, same era.
Xie, X., Cheng, G., Wang, J., Yao, X., Han, J.: Oriented r-cnn for object detection. In: ICCV (2021)
2021
Cited alongside, same era.
Hu, Y., Yang, J., Chen, L., Li, K., Sima, C., Zhu, X., Chai, S., Du, S., Lin, T., Wang, W., et al.: Planning-oriented autonomous driving. In: CVPR (2023)
2023
Later among the works it cites.
Hu, Z., Sun, Y., Wang, J., Yang, Y.: Dac-detr: Divide the attention layers and conquer. In: NeurIPS (2023)
2023
Later among the works it cites.
Jocher, G., Chaurasia, A., Qiu, J.: Ultralytics YOLO (Jan 2023), https://github.com/ultralytics/ultralytics
2023
Later among the works it cites.
2023
Later among the works it cites.
Lv, K., Yu, M., Pu, Y., Jiang, X., Huang, G., Li, X.: Learning to estimate 3-d states of deformable linear objects from single-frame occluded point clouds. In: ICRA (2023)
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yang, X., Yan, J., Feng, Z., He, T.: R3det: Refined single-stage detector with feature refinement for rotating object. In: AAAI (2021)
2021
Cited alongside, same era.
Yang, X., Yan, J., Ming, Q., Wang, W., Zhang, X., Tian, Q.: Rethinking rotated object detection with gaussian wasserstein distance loss. In: ICML (2021)
2021
Cited alongside, same era.
Yang, X., Yang, X., Yang, J., Ming, Q., Wang, W., Tian, Q., Yan, J.: Learning high-precision bounding box for rotated object detection via kullback-leibler divergence. In: NeurIPS (2021)
2021
Cited alongside, same era.
Cheng, G., Wang, J., Li, K., Xie, X., Lang, C., Yao, Y., Han, J.: Anchor-free oriented proposal generator for object detection. TGARS (2022)
2022
Cited alongside, same era.
Detector, A.F.O.: Fcos: A simple and strong anchor-free object detector. TPAMI 44
2022
Cited alongside, same era.
Guo, J., Du, C., Wang, J., Huang, H., Wan, P., Huang, G.: Assessing a single image in reference-guided image synthesis. In: AAAI (2022)
2022
Cited alongside, same era.
Han, Y., Pu, Y., Lai, Z., Wang, C., Song, S., Cao, J., Huang, W., Deng, C., Huang, G.: Learning to weight samples for dynamic early-exiting networks. In: ECCV (2022)
2022
Cited alongside, same era.
2023
Later among the works it cites.
2023
Later among the works it cites.
Pu, Y., Han, Y., Wang, Y., Feng, J., Deng, C., Huang, G.: Fine-grained recognition with learnable semantic data augmentation. TIP (2023)
2023
Later among the works it cites.
Pu, Y., Liang, W., Hao, Y., Yuan, Y., Yang, Y., Zhang, C., Hu, H., Huang, G.: Rank-detr for high quality object detection. In: NeurIPS (2023)
2023
Later among the works it cites.
Pu, Y., Wang, Y., Xia, Z., Han, Y., Wang, Y., Gan, W., Wang, Z., Song, S., Huang, G.: Adaptive rotated convolution for rotated object detection. In: ICCV (2023)
2023
Later among the works it cites.
Wang, Y., Guo, J., Wang, J., Wu, C., Song, S., Huang, G.: Erratum to meta-semi: A meta-learning approach for semi-supervised learning. CAAI Artificial Intelligence Research 2
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
Xie, Y., Lu, M., Peng, R., Lu, P.: Learning agile flights through narrow gaps with varying angles using onboard sensing. RAL (2023)
2023
Later among the works it cites.
Xu, C., Ding, J., Wang, J., Yang, W., Yu, H., Yu, L., Xia, G.S.: Dynamic coarse-to-fine learning for oriented tiny object detection. In: CVPR (2023)
2023
Later among the works it cites.
Yang, X., Zhou, Y., Zhang, G., Yang, J., Wang, W., Yan, J., Zhang, X., Tian, Q.: The kfiou loss for rotated object detection. In: ICLR (2023)
2023
Later among the works it cites.
Guo, J., Xu, X., Pu, Y., Ni, Z., Wang, C., Vasu, M., Song, S., Huang, G., Shi, H.: Smooth diffusion: Crafting smooth latent spaces in diffusion models. In: CVPR (2024)
2024
Closest in time.
Han, Y., Liu, Z., Yuan, Z., Pu, Y., Wang, C., Song, S., Huang, G.: Latency-aware unified dynamic networks for efficient image recognition. TPAMI (2024)
2024
Closest in time.
He, C., Li, K., Zhang, Y., Xu, G., Tang, L., Zhang, Y., Guo, Z., Li, X.: Weakly-supervised concealed object segmentation with sam-based pseudo labeling and multi-scale feature grouping. NeurIPS 36
2024
Closest in time.
He, C., Li, K., Zhang, Y., Zhang, Y., Guo, Z., Li, X., Danelljan, M., Yu, F.: Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects (2024)
2024
Closest in time.
Pu, Y., Xia, Z., Guo, J., Han, D., Li, Q., Li, D., , Yuan, Y., Li, J., Han, Y., Song, S., Huang, G., Li, X.: Efficient diffusion transformer with step-wise dynamic attention mediators. In: ECCV (2024)
2024
Closest in time.
Shen, Y., Geng, Z., Yuan, Y., Lin, Y., Liu, Z., Wang, C., Hu, H., Zheng, N., Guo, B.: V-detr: Detr with vertex relative position encoding for 3d object detection. In: ICLR (2024)
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
Xiao, J., Li, L., Lv, H., Wang, S., Huang, Q.: R&b: Region and boundary aware zero-shot grounded text-to-image generation. In: ICLR (2024)
2024
Closest in time.
Xiao, Y., Luo, Z., Liu, Y., Ma, Y., Bian, H., Ji, Y., Yang, Y., Li, X.: Bridging the gap: A unified video comprehension framework for moment retrieval and highlight detection. CVPR (2024)
2024
Closest in time.
2024
Closest in time.
Yu, Y., Da, F.: On boundary discontinuity in angle regression based arbitrary oriented object detection. TPAMI (2024)
2024
Closest in time.