Cross-Modal Recurrent Semantic Comprehension for Referring Image Segmentation

CafeBoost: Causal Feature Boost To Eliminate Task-Induced Bias for Class Incremental Learning

Incrementer: Transformer for Class-Incremental Semantic Segmentation with Knowledge Distillation Focusing on Old Class

Disturbed Augmentation Invariance for Unsupervised Visual Representation Learning

Unsupervised Visual Representation Learning via Multi-Dimensional Relationship Alignment

Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality Assessment

Task-Specific Loss for Robust Instance Segmentation with Noisy Class Labels

RefCrowd: Grounding the Target in Crowd with Referring Expressions

Bias-Correction Feature Learner for Semi-Supervised Instance Segmentation

Remember and Reuse: Cross-Task Blind Image Quality Assessment via Relevance-aware Incremental Learning