| VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition. | 0 | 0.34 | 2022 |
| Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework | 0 | 0.34 | 2022 |
| AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks. | 0 | 0.34 | 2022 |
| Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation | 0 | 0.34 | 2021 |
| Searching Parameterized AP Loss for Object Detection. | 0 | 0.34 | 2021 |
| Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. | 0 | 0.34 | 2021 |
| Deformable DETR: Deformable Transformers for End-to-End Object Detection | 0 | 0.34 | 2021 |
| Unsupervised Object Detection with LiDAR Clues | 0 | 0.34 | 2021 |
| Deformable DETR: Deformable Transformers for End-to-End Object Detection. | 0 | 0.34 | 2021 |
| VL-BERT: Pre-training of Generic Visual-Linguistic Representations. | 0 | 0.34 | 2020 |
| Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation. | 0 | 0.34 | 2020 |
| VL-BERT: Pre-training of Generic Visual-Linguistic Representations | 2 | 0.36 | 2020 |
| Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation | 0 | 0.34 | 2020 |
| Deformable Convnets V2: More Deformable, Better Results | 71 | 1.43 | 2018 |
| Towards High Performance Video Object Detection for Mobiles. | 2 | 0.35 | 2018 |
| Integrated Object Detection and Tracking with Tracklet-Conditioned Detection. | 1 | 0.35 | 2018 |
| Flow-Guided Feature Aggregation for Video Object Detection | 71 | 1.71 | 2017 |
| An Uncertainty-Aware Approach for Exploratory Microblog Retrieval | 20 | 0.54 | 2015 |
