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08/18/2023
EAVL: Explicitly Align Vision and Language for Referring Image Segmentation
Referring image segmentation aims to segment an object mentioned in natu...
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06/15/2023
COSA: Concatenated Sample Pretrained Vision-Language Foundation Model
Due to the limited scale and quality of video-text training corpus, most...
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05/24/2023
MMNet: Multi-Mask Network for Referring Image Segmentation
Referring image segmentation aims to segment an object referred to by na...
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05/22/2023
VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending
Large-scale image-text contrastive pre-training models, such as CLIP, ha...
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05/19/2023
Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense Captioner
Large pre-trained multimodal models have demonstrated significant succes...
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04/17/2023
VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset
In this paper, we propose a Vision-Audio-Language Omni-peRception pretra...
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10/09/2022
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning
Multimodal representation learning has shown promising improvements on v...
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09/06/2021
Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing
Compared with image scene parsing, video scene parsing introduces tempor...
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01/26/2021
Global-Local Propagation Network for RGB-D Semantic Segmentation
Depth information matters in RGB-D semantic segmentation task for provid...
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05/10/2020
