Pascal VOC 2007

PASCAL VOC 2007 is a benchmark dataset that contains images annotated for object detection tasks, used to evaluate the performance of models in identifying and localizing objects within those images.

Papers using Pascal VOC 2007 (7)

Multi-label Classification with Panoptic Context Aggregation Networks2025Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection2020 · 66 citesObject-Aware Instance Labeling for Weakly Supervised Object Detection2019 · 61 citesWeakly Supervised Object Detection with Segmentation Collaboration2019 · 18 citesPseudo Mask Augmented Object Detection2018 · 5 citesObject Discovery via Contrastive Learning for Weakly Supervised Object Detection2022 · 2 citesA Classification approach towards Unsupervised Learning of Visual Representations2018