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Image modality is not perfect as it often fails in certain conditions, e.g., night and fast motion.
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Zhang, J., Yang, K., Stiefelhagen, R.: Issafe: Improving semantic segmentation in accidents by fusing event-based data. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). pp. 1132–1139. IEEE (2021)
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Zhang, Q., Zhao, S., Luo, Y., Zhang, D., Huang, N., Han, J.: Abmdrnet: Adaptive-weighted bi-directional modality difference reduction network for rgb-t semantic segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 2633–2642 (2021)
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2022
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Chen, G., Shao, F., Chai, X., Chen, H., Jiang, Q., Meng, X., Ho, Y.S.: Modality-induced transfer-fusion network for rgb-d and rgb-t salient object detection. IEEE Transactions on Circuits and Systems for Video Technology 33
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Cong, R., Lin, Q., Zhang, C., Li, C., Cao, X., Huang, Q., Zhao, Y.: Cir-net: Cross-modality interaction and refinement for rgb-d salient object detection. IEEE Transactions on Image Processing 31
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Ji, W., Yan, G., Li, J., Piao, Y., Yao, S., Zhang, M., Cheng, L., Lu, H.: Dmra: Depth-induced multi-scale recurrent attention network for rgb-d saliency detection. IEEE Transactions on Image Processing 31
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Lee, M., Park, C., Cho, S., Lee, S.: Spsn: Superpixel prototype sampling network for rgb-d salient object detection. In: European Conference on Computer Vision. pp. 630–647. Springer (2022)
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Li, Y., Yu, A.W., Meng, T., Caine, B., Ngiam, J., Peng, D., Shen, J., Lu, Y., Zhou, D., Le, Q.V., et al.: Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 17182–17191 (2022)
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Liang, Y., Wakaki, R., Nobuhara, S., Nishino, K.: Multimodal material segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 19800–19808 (2022)
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Liao, G., Gao, W., Li, G., Wang, J., Kwong, S.: Cross-collaborative fusion-encoder network for robust rgb-thermal salient object detection. IEEE Transactions on Circuits and Systems for Video Technology 32
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Liu, H., Lu, T., Xu, Y., Liu, J., Li, W., Chen, L.: Camliflow: Bidirectional camera-lidar fusion for joint optical flow and scene flow estimation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5791–5801 (2022)
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Song, M., Song, W., Yang, G., Chen, C.: Improving rgb-d salient object detection via modality-aware decoder. IEEE Transactions on Image Processing 31
2022
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Wang, F., Pan, J., Xu, S., Tang, J.: Learning discriminative cross-modality features for rgb-d saliency detection. IEEE Transactions on Image Processing 31
2022
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Wang, Y., Chen, X., Cao, L., Huang, W., Sun, F., Wang, Y.: Multimodal token fusion for vision transformers. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 12186–12195 (2022)
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Wu, W., Chu, T., Liu, Q.: Complementarity-aware cross-modal feature fusion network for rgb-t semantic segmentation. Pattern Recognition 131
2022
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Wei, S., Luo, C., Luo, Y.: Mmanet: Margin-aware distillation and modality-aware regularization for incomplete multimodal learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 20039–20049 (2023)
2023
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Xie, Z., Shao, F., Chen, G., Chen, H., Jiang, Q., Meng, X., Ho, Y.S.: Cross-modality double bidirectional interaction and fusion network for rgb-t salient object detection. IEEE Transactions on Circuits and Systems for Video Technology (2023)
2023
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Zhang, B., Wang, Z., Ling, Y., Guan, Y., Zhang, S., Li, W.: Mx2m: Masked cross-modality modeling in domain adaptation for 3d semantic segmentation. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 37, pp. 3401–3409 (2023)
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Zhang, J., Liu, H., Yang, K., Hu, X., Liu, R., Stiefelhagen, R.: Cmx: Cross-modal fusion for rgb-x semantic segmentation with transformers. IEEE Transactions on Intelligent Transportation Systems (2023)
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2022
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Ying, X., Chuah, M.C.: Uctnet: Uncertainty-aware cross-modal transformer network for indoor rgb-d semantic segmentation. In: European Conference on Computer Vision. pp. 20–37. Springer (2022)
2022
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2022
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Zhang, R., Guo, Z., Zhang, W., Li, K., Miao, X., Cui, B., Qiao, Y., Gao, P., Li, H.: Pointclip: Point cloud understanding by clip. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 8552–8562 (2022)
2022
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2022
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2022
Cited alongside, same era.
Borse, S., Klingner, M., Kumar, V.R., Cai, H., Almuzairee, A., Yogamani, S., Porikli, F.: X-align: Cross-modal cross-view alignment for bird’s-eye-view segmentation. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 3287–3297 (2023)
2023
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2023
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2023
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Zhang, J., Liu, R., Shi, H., Yang, K., Reiß, S., Peng, K., Fu, H., Wang, K., Stiefelhagen, R.: Delivering arbitrary-modal semantic segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 1136–1147 (2023)
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2023
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Zhang, T., Guo, H., Jiao, Q., Zhang, Q., Han, J.: Efficient rgb-t tracking via cross-modality distillation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5404–5413 (2023)
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2023
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Zheng, J., Wang, Y., Tan, C., Li, S., Wang, G., Xia, J., Chen, Y., Li, S.Z.: Cvt-slr: Contrastive visual-textual transformation for sign language recognition with variational alignment. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 23141–23150 (2023)
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2023
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Zheng, X., Pan, T., Luo, Y., Wang, L.: Look at the neighbor: Distortion-aware unsupervised domain adaptation for panoramic semantic segmentation. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 18687–18698 (2023)
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Zheng, X., Zhu, J., Liu, Y., Cao, Z., Fu, C., Wang, L.: Both style and distortion matter: Dual-path unsupervised domain adaptation for panoramic semantic segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 1285–1295 (2023)
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Zhou, W., Zhang, H., Yan, W., Lin, W.: Mmsmcnet: Modal memory sharing and morphological complementary networks for rgb-t urban scene semantic segmentation. IEEE Transactions on Circuits and Systems for Video Technology (2023)
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2023
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Zhu, J., Lai, S., Chen, X., Wang, D., Lu, H.: Visual prompt multi-modal tracking. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 9516–9526 (2023)
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Zhu, J., Luo, Y., Zheng, X., Wang, H., Wang, L.: A good student is cooperative and reliable: Cnn-transformer collaborative learning for semantic segmentation. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 11720–11730 (2023)
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Chen, J., Deguchi, D., Zhang, C., Zheng, X., Murase, H.: Frozen is better than learning: A new design of prototype-based classifier for semantic segmentation. Pattern Recognition 152
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Lyu, Y., Zheng, X., Zhou, J., Wang, L.: Unibind: Llm-augmented unified and balanced representation space to bind them all. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 26752–26762 (2024)
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Maheshwari, H., Liu, Y.C., Kira, Z.: Missing modality robustness in semi-supervised multi-modal semantic segmentation. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 1020–1030 (2024)
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Zheng, X., Wang, L.: Eventdance: Unsupervised source-free cross-modal adaptation for event-based object recognition. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 17448–17458 (2024)
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