We fine-tune 7 models including ViTs, DINO, CLIP, ConvNeXt, ResNet, on
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NeurIPS 2023
The freeze-out distribution, f f ree (x, p), in the rest frame of the
The local transverse momentum (here p x ) distribution for baryon free
PDF) Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression
Frontiers High-throughput UAV-based rice panicle detection and genetic mapping of heading-date-related traits
ViTMatte: Boosting image matting with pre-trained plain vision
GitHub - rwightman/timm: PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
A Broad Study of Pre-training for Domain Generalization and Adaptation
Ruoqi Shen's research works
Papers Explained 94: ConvNeXt V2. The ConvNeXt model demonstrated strong…, by Ritvik Rastogi, The Deep Hub
D] Finetune pretrained ViT : r/MachineLearning
We fine-tune 7 models including ViTs, DINO, CLIP, ConvNeXt, ResNet, on
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