Search Results for author:
Found 8 papers, 5 papers with code
TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding Network
In view of the more contribution of high-level features for the performance, we propose a triplet transformer embedding module to enhance them by learning long-range dependencies across layers.
RGBT Salient Object Detection: A Large-scale Dataset and Benchmark
Salient object detection in complex scenes and environments is a challenging research topic.
Multi-interactive Encoder-decoder Network for RGBT Salient Object Detection
RGBT salient object detection (SOD) aims to segment the common prominent regions of visible and thermal infrared images.
Multi-interactive Dual-decoder for RGB-thermal Salient Object Detection
Then, we design a novel dual-decoder to conduct the interactions of multi-level features, two modalities and global contexts.
M$^5$L: Multi-Modal Multi-Margin Metric Learning for RGBT Tracking
Classifying the confusing samples in the course of RGBT tracking is a quite challenging problem, which hasn't got satisfied solution.
Edge-guided Non-local Fully Convolutional Network for Salient Object Detection
To maintain the clear edge structure of salient objects, we propose a novel Edge-guided Non-local FCN (ENFNet) to perform edge guided feature learning for accurate salient object detection.
Multi-Adapter RGBT Tracking
In a specific, the generality adapter is to extract shared object representations, the modality adapter aims at encoding modality-specific information to deploy their complementary advantages, and the instance adapter is to model the appearance properties and temporal variations of a certain object.
RGB-T Image Saliency Detection via Collaborative Graph Learning
In this paper, we propose an effective approach for RGB-T image saliency detection.
