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Found 5 papers, 3 papers with code
ExpLLM: Towards Chain of Thought for Facial Expression Recognition
Specifically, we have designed the CoT mechanism from three key perspectives: key observations, overall emotional interpretation, and conclusion.
Facial Expression Recognition
Facial Expression Recognition (FER)
FoodSAM: Any Food Segmentation
Remarkably, this pioneering framework stands as the first-ever work to achieve instance, panoptic, and promptable segmentation on food images.
Ranked #1 on
Semantic Segmentation
on FoodSeg103
(using extra training data)
Revisiting Quantization Error in Face Alignment
The statistical re- sults show the NME generated by quantization error is even larger than 1/3 of the SOTA item, which is a serious obsta- cle for making a new breakthrough in face alignment.
Ranked #8 on
Face Alignment
on COFW
HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap
In particular, our HIH reaches 4. 08 NME (Normalized Mean Error) on WFLW, and 3. 21 on COFW, which exceeds previous methods by a significant margin.
Ranked #4 on
Face Alignment
on WFW (Extra Data)
ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets
Face alignment is an important task in the field of multi-media.
Ranked #9 on
Face Alignment
on COFW
(using extra training data)
