HyperAIHyperAI
HomeConsoleDocsNewsPapersTutorialsDatasetsWikiSOTALLM ModelsGPU LeaderboardEvents
Search
About
HyperAIHyperAI

Command Palette

Search for a command to run...

Open Vocabulary Semantic Segmentation On Coco

Metrics

mIoU

Results

Performance results of various models on this benchmark

Paper TitleRepository
TTD (TCL)23.7TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias
LaVG23.2In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation
CLIP Surgery (original CLIP without any fine-tuning)21.9A Closer Look at the Explainability of Contrastive Language-Image Pre-training
TTD (MaskCLIP)19.4TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias
POMP-Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
ZegFormer-Decoupling Zero-Shot Semantic Segmentation
ZSSeg-A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model
0 of 7 row(s) selected.
Open Vocabulary Semantic Segmentation On Coco | SOTA | HyperAI