Pascal VOC
Emerging9papers using it
2023first seen
Pascal VOC is a dataset that contains annotated images for object detection and segmentation, used to evaluate the performance of object recognition algorithms.
Papers using Pascal VOC (9)
- BareBones: Benchmarking Zero-Shot Geometric Comprehension in VLMsA novel Framework for Open-Vocabulary Multi-Object Recognition using CLIPDEX-AR: A Dynamic Explainability Method for Autoregressive Vision-Language ModelsA Training-Free Guess What Vision Language Model from Snippets to Open-Vocabulary Object DetectionSJTU:Spatial judgments in multimodal models towards unified segmentation through coordinate detectionVLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object
Detection via Vision-Language ModelRethinking Sparse Lexical Representations for Image Retrieval in the Age
of Rising Multi-Modal Large Language ModelsEmergent Open-Vocabulary Semantic Segmentation from Off-the-shelf
Vision-Language ModelsText-Region Matching for Multi-Label Image Recognition with Missing
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