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Found 4 papers, 2 papers with code
GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives
Learning scene graphs from natural language descriptions has proven to be a cheap and promising scheme for Scene Graph Generation (SGG).
Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and Retention
For the more challenging settings of relation-involved open vocabulary SGG, the proposed approach integrates relation-aware pre-training utilizing image-caption data and retains visual-concept alignment through knowledge distillation.
DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection
There are two main issues in RGB-D salient object detection: (1) how to effectively integrate the complementarity from the cross-modal RGB-D data; (2) how to prevent the contamination effect from the unreliable depth map.
Ranked #22 on
Thermal Image Segmentation
on RGB-T-Glass-Segmentation
Global Context-Aware Progressive Aggregation Network for Salient Object Detection
Deep convolutional neural networks have achieved competitive performance in salient object detection, in which how to learn effective and comprehensive features plays a critical role.
Ranked #20 on
Dichotomous Image Segmentation
on DIS-TE1
