VOC

The VOC dataset, or Visual Object Classes dataset, contains images annotated with object classes and is used to evaluate the performance of visual recognition models in detecting and classifying objects.

Papers using VOC (6)

Completely Weakly Supervised Class-Incremental Learning for Semantic Segmentation2025 · 1 citesTeach YOLO to Remember: A Self-Distillation Approach for Continual Object Detection2025 · 1 citesWhat Helps---and What Hurts: Bidirectional Explanations for Vision Transformers2026Fractional Correspondence Framework in Detection Transformer2025CAT: Cross-Attention Transformer for One-Shot Object Detection2021 · 8 citesTowards Better Object Detection in Scale Variation with Adaptive Feature Selection2020 · 3 cites