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Found 8 papers, 0 papers with code
A-SDM: Accelerating Stable Diffusion through Redundancy Removal and Performance Optimization
The Stable Diffusion Model (SDM) is a popular and efficient text-to-image (t2i) generation and image-to-image (i2i) generation model.
Underwater Camouflage Object Detection Dataset
We have made a dataset of camouflage object detection mainly for complex seabed scenes, and named it UnderWater RGB&Sonar, or UW-RS for short.
Interactive Context-Aware Network for RGB-T Salient Object Detection
However, most related works are based on RGB images, which lose massive useful information.
LC3Net: Ladder context correlation complementary network for salient object detection
Currently, existing salient object detection methods based on convolutional neural networks commonly resort to constructing discriminative networks to aggregate high level and low level features.
M2RNet: Multi-modal and Multi-scale Refined Network for RGB-D Salient Object Detection
The adjacent interactive aggregation module (AIAM) gradually integrates the neighbor features of high, middle and low levels.
ACFNet: Adaptively-Cooperative Fusion Network for RGB-D Salient Object Detection
Further, we proposed a type-based attention module (TAM) to optimize the network and enhance the multi-scale perception of different objects.
Modal-Adaptive Gated Recoding Network for RGB-D Salient Object Detection
Then, a modal-adaptive gate unit (MGU) is proposed to suppress the invalid information and transfer the effective modal features to the recoding mixer and the hybrid branch decoder.
Perception-and-Regulation Network for Salient Object Detection
Effective fusion of different types of features is the key to salient object detection.
