This repository aggregates academic papers on Computer Vision in the Wild (CVinW), an emerging research field focused on applying pre-trained models to diverse real-world tasks with low transfer cost. The collection spans task-level transfer (classification, detection, segmentation, video, grounded generation, large multimodal models), efficient adaptation methods (LoRA, adapters), and out-of-domain generalization.