Field smoke detection based on Yolov8 (4): Channel Priority Convolution Attention (CPCA), the effect is instantaneous to beat CBAM and SE, etc. | Latest publication of the Chinese Academy of Sciences in 2023 - Code World

Field smoke detection based on Yolov8 (4): Channel Priority Convolution Attention (CPCA), the effect is instantaneous to beat CBAM and SE, etc. | Latest publication of the Chinese Academy of Sciences in 2023

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Field smoke detection based on Yolov8 (4): Channel Priority Convolution Attention (CPCA), the effect is instantaneous to beat CBAM and SE, etc. | Latest publication of the Chinese Academy of Sciences in 2023

Optimize and improve the receptive field attention convolution operation (RFAConv) of the YOLOv5 algorithm, and the effect is faster than CBAM and CA, etc.

Field smoke detection based on Yolov8 (1)

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

Yolov8 improvement --- attention mechanism: CoordAttention, the effect spikes CBAM, SE

Yolov8 improves the CoTAttention attention mechanism, and the effect instantly kills CBAM and SE

Yolov5/Yolov7 improvement --- attention mechanism: SimAM (no parameter Attention) and NAM (based on standardized attention module), the effect spikes CBAM, SE

Latest | 2023 Chinese Academy of Sciences 3D Point Cloud Transformer!

Photovoltaic cell defect detection based on Yolov8 introduces ICCV2023 dynamic snake convolution and the exclusive network-first multi-dimensional collaborative attention module MCA, achieving full innovation and growth

Field smoke detection based on Yolov8 (5): Gold-YOLO, far ahead, surpassing all YOLO | Huawei Noah NeurIPS23

Safety helmet detection system based on YOLOv8 (3): DCNv3 deformable convolution, optimized based on DCNv2, to assist behavior detection | CVPR2023 InternImage

Practical implementation of industrial small target defect detection based on Yolov8 (2): Dynamic Snake Convolution (Dynamic Snake Convolution), achieving violent gains | ICCV2023

2023 (Class of 2024) Computer Science Research Institute - Institute of Computing Technology, Chinese Academy of Sciences, Renmin University of China, Tsinghua University, Fudan Big Data, etc.

Yolov5/Yolov7 improvement --- attention mechanism: Polarized Self-Attention, the effect spikes CBAM, SE

The list of effective candidates for academicians of the Chinese Academy of Sciences in 2023 is announced!

YOLOv5 improves the latest ICCV2023 conference LSKNet: the field of large selective convolution kernel is explored for the first time to help small target detection

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

YOLOv8's latest improvement series: YOLOv8+RepViT, re-examines mobile CNN from the perspective of ViT, effectively improving the model detection effect! ! ! 1.3ms delay-Tsinghua ICCV 2023 latest open source mobile network architecture RepViT

Yolov8 に基づく野煙検知 (4): Channel Priority Convolution Attendance (CPCA)、効果は瞬時で CBAM や SE などに勝つ | 中国科学院の 2023 年の最新出版物

Yolov8 に基づく野煙検知 (4): Channel Priority Convolution Attendance (CPCA)、効果は瞬時で CBAM や SE などに勝つ | 中国科学院の 2023 年の最新出版物

Yolov8 に基づく野煙検知 (4): Channel Priority Convolution Attendance (CPCA)、効果は瞬時で CBAM や SE などに勝つ | 中国科学院の 2023 年の最新出版物

Yolov8 に基づく野煙検知 (4): Channel Priority Convolution Attendance (CPCA)、効果は瞬時で CBAM や SE などに勝つ | 中国科学院の 2023 年の最新出版物

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvements [NO.84] are integrated into the 2023 latest large convolution kernel CNN architecture RepLKNet upgraded version-UniRepLKNet

The latest notice: University of Chinese Academy of Sciences adjusts the method of admission examination for doctoral students admitted in the fall of 2022

Changes in the latest Chinese Academy of Sciences periodical division table in 2022 | Biology, Medicine

[TOP Interpretation] Area 2 of the Chinese Academy of Sciences under IEEE, no page fee required, IF continues to rise, publication is published quickly, is it worth investing?

NeurIPS 2019 | Chinese Academy of Sciences and Megvii propose DetNAS framework: a Backbone search that can be used for target detection

Chinese Academy of Sciences proposes DSNet, a crowd density detection algorithm, with an accuracy increase of 30%

【Chinese Scholars】Cheng Xueqi Chinese Academy of Sciences

【Chinese Scholars】Guo Jiafeng Chinese Academy of Sciences

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