- A continual learning survey: Defying forgetting in classification tasks (TPAMI 2021) [paper]
- Continual Object Detection: A review of definitions, strategies, and challenges (arxiv 2022)[paper]
- Generalized Out-of-Distribution Detection: A Survey (arxiv 2021) [paper] [code]
- Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer (ECCV2022) [paper] [code]
- Novel Class Discovery without Forgetting (ECCV2022) [paper]
- Class-incremental Novel Class Discovery (ECCV2022) [paper]
- Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation(CVPR2022) [paper]
- MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning (CVPR2022) [paper]
- Class-Incremental Learning with Strong Pre-trained Models (CVPR2022) [paper]
- Federated Class-Incremental Learning (CVPR2022) [paper] [code]
- Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning (CVPR2022) [paper]
- Class-Incremental Learning via Dual Augmentation (NeurIPS2021) [paper]
- Striking a Balance between Stability and Plasticity for Class-Incremental Learning (ICCV, 2021) [paper]
- Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning (ICCV, 2021) [paper]
- Adaptive Aggregation Networks for Class-Incremental Learning (CVPR, 2021) [paper]
- Online Class-Incremental Continual Learning with Adversarial Shapley Value(AAAI, 2021) [paper] [code]
- Class-Incremental Domain Adaptation (ECCV2020) [paper]
- Topology-Preserving Class-Incremental Learning (ECCV2020) [paper]
- Few-Shot Class-Incremental Learning (CVPR2020) [paper]
- Overcoming Catastrophic Forgetting in Incremental Object Detectionvia Elastic Response Distillation (CVPR2022) [paper]
- Incremental Object Detection via Meta-Learning (TPAMI 2021) [paper] [code]
- Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection (NeurIPS, 2021) [paper] [code]
- Wanderlust: Online Continual Object Detection in the Real World (ICCV, 2021) [paper]
- Incremental Few-Shot Object Detection (CVPR2020) [paper]
- Towards Open World Object Detection (CVPR, 2021) [paper] [code] [video]
- Revisiting Open World Object Detection(CVPR, 2022)[paper]
- OW-DETR: Open-world Detection Transformer (CVPR, 2022)[paper]
- Simple Open-Vocabulary Object Detection with Vision Transformers(arxiv, 2022)[paper][code]
- Zero-Shot Object Detection(ECCV, 2018)[paper]
- Open-vocabulary Object Detection via Vision and Language Knowledge Distillation(ICLR, 2022)[paper]
- MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding(ICCV, 2021)[paper]
- Open-Vocabulary Object Detection Using Captions(CVPR 2020)[paper]
- Detecting Twenty-thousand Classes using Image-level Supervision(arxiv, 2022)[paper].
- RegionCLIP: Region-based Language-Image Pretraining(arxiv, 2022)[paper]
- Grounded Language-Image Pre-training(arxiv, 2022)[paper]
- PromptDet: Towards Open-vocabulary Detection using Uncurated Images(ECCV 2022)[paper][code]
- Opening up Open-World Tracking(CVPR 2022)[paper][code]
- UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection(CVPR 2022)[paper][code]