381 citations · 381 across the 2 of their papers we have counts for
4 papers · 1 filter
SwinNet: Swin Transformer drives edge-aware RGB-D and RGB-T salient object detection
Zhengyi Liu, Yacheng Tan, Qian He +1
Convolutional neural networks (CNNs) are good at extracting contexture features within certain receptive fields, while transformers can model the global long-range dependency featu…
Beyond Fixation: Dynamic Window Visual Transformer
Pengzhen Ren, Changlin Li, Guangrun Wang +4
Recently, a surge of interest in visual transformers is to reduce the computational cost by limiting the calculation of self-attention to a local window. Most current work uses a f…
TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding Network
Zhengyi Liu, Yuan Wang, Zhengzheng Tu +2
Salient object detection is the pixel-level dense prediction task which can highlight the prominent object in the scene. Recently U-Net framework is widely used, and continuous con…
Saliency Detection via Bidirectional Absorbing Markov Chain
Fengling Jiang, Bin Kong, Ahsan Adeel +2
Traditional saliency detection via Markov chain only considers boundaries nodes. However, in addition to boundaries cues, background prior and foreground prior cues play a compleme…