CVPR 2023 | Plug-and-Play Attention Module HAT: Activate more useful pixels to boost low-level tasks significantly! - Code World

CVPR 2023 | Plug-and-Play Attention Module HAT: Activate more useful pixels to boost low-level tasks significantly!

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CVPR 2023 | Plug-and-Play Attention Module HAT: Activate more useful pixels to boost low-level tasks significantly!

ICCV 2023 | Sublimation of Light and Shadow: FeatEnHancer A Plug-and-Play Module for Arbitrary Low-Light Tasks, Significantly Boosts Accuracy!

CVPR 2023 | Image super-resolution, combined with diffusion model/GAN/deployment optimization, low-level tasks, visual AIGC series

Улучшение YOLOV8: CVPR 2023 | SCConv: свертка пространственной и канальной реконструкции Plug-and-Play

YOLOv7 Improvement: CVPR 2023 | SCConv: Plug-and-Play Convolution for Spatial and Channel Reconstruction

CVPR 2023 | Point-increasing artifact! SCConv: plug-and-play spatial and channel reconstructed convolutions

CVPR 2023 | Модуль внимания Plug-and-Play HAT: активируйте больше полезных пикселей, чтобы значительно ускорить выполнение низкоуровневых задач!

CVPR2023 Plug and Play Series | An Efficient and Lightweight Self-Attention Mechanism Helps Image Restoration Network Win SOTA!

Improving YOLOv5/YOLOv8: Reproduction combined with plug-and-play | Efficient multi-scale attention (EMA), the module becomes a small helper for YOLOv5 improvement

YOLOV8 improvement: CVPR 2023 | Add EMA attention mechanism in different positions of C2f module, effectively increase points

Shifting More Attention to Video Salient Object Detection （CVPR 2019）

Low-level communication stack module independent of specific bus: AutoSAR

[YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement NO.65] CVPR 2023 | Tsinghua team's plug-and-play network architecture—Slide-Transformer

【CVPR 2023】EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention

YOLOV8 improvements: TripletAttention | plug-and-play lightweight attention mechanism

Blue Bridge Cup DS1302 low-level program should pay attention

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ICCV 2023 | China University of Science and Technology proposes NVDS: a plug-and-play video depth prediction framework

Attention mechanism: based on Yolov8's Triplet attention module, plug and play, the effect is better than cbam and se, and the increase point is obvious

attention module

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CVPR 2023｜EfficientViT: Make ViT more efficient to deploy and realize real-time reasoning (with source code)

External div few more pixels than img

Improve YOLOv8 | Plug and Play | Add [SimAM] [CoTAttention] [SKAttention] [Double Attention] attention mechanism in the C2F module | Attach a detailed structure diagram

Module schedule regular tasks

Yolov5/Yolov7 improvement---attention mechanism: ICASSP2023 EMA is based on efficient multi-scale attention of cross-space learning, the effect is better than ECA, CBAM, CA | small target rises significantly

YOLOV5 improvement: CVPR 2023 | Add EMA attention mechanism in different positions of C3 block, effectively increase points

YOLOV5 improvement: CVPR2023: join the EfficientViT backbone: memory access efficient ViT with cascade group attention

YOLOv5 Improvement Series (20) - Add BiFormer Attention Mechanism (CVPR2023|Small Goal Increase Point Artifact)

CVPR 2021 | Activate or Not: Learning Customized Activation阅读分享（keras实现）

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