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No One Left Behind: Real-World Federated Class-Incremental Learning., , , , , and . CoRR, (2023)RMM: Reinforced Memory Management for Class-Incremental Learning., , and . CoRR, (2023)ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers., , , , , , and . CoRR, (2022)Analyzing the Dependency of ConvNets on Spatial Information., , , and . GCPR, volume 12544 of Lecture Notes in Computer Science, page 101-115. Springer, (2020)Towards Better Understanding Attribution Methods., , and . CVPR, page 10213-10222. IEEE, (2022)Omni-DETR: Omni-Supervised Object Detection with Transformers., , , , , , and . CVPR, page 9357-9366. IEEE, (2022)PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking., , , , and . CVPR, page 20931-20940. IEEE, (2022)A Meta-Learning Approach to Predicting Performance and Data Requirements., , , , , , , , , and 1 other author(s). CVPR, page 3623-3632. IEEE, (2023)Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding., , , , , and . CVPR, page 1168-1178. IEEE, (2023)Semantic Projection Network for Zero- and Few-Label Semantic Segmentation., , , , and . CVPR, page 8256-8265. Computer Vision Foundation / IEEE, (2019)