3 results found Sort:

v-iashin
video_features v-iashin
91
466
mit
6
Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.
i3d s3d vit clip raft swin timm ig65m laion resnet vggish pytorch parallel r2plus1d multi-gpu optical-flow audio-features video-features visual-features feature-extraction
Created 2020-06-01
96 commits to master branch, last one 3 months ago
Ezra-Yu
ACCV2022_FGIA_1st Ezra-Yu
1
32
unknown
3
1st solution for the Webly-supervised Fine-grained Recognition competition in https://www.cvmart.net/race/10412/base
eql mae swin pytorch longtail arcface-loss pseudolabelling fine-grained-classification
Created 2022-09-29
162 commits to master branch, last one about a year ago
Cydia2018
YOLOv5-Light Cydia2018
5
29
gpl-3.0
1
provide some new architecture, channel pruning and quantization methods for yolov5
lsq swin yolo yolov5 pruning adaround convnext tensorrt quantization
Created 2022-10-14
2,404 commits to main branch, last one about a year ago