We fine-tune 7 models including ViTs, DINO, CLIP, ConvNeXt, ResNet, on

Frontiers High-throughput UAV-based rice panicle detection and genetic mapping of heading-date-related traits

PDF) Adversarial Attacks on Foundational Vision Models

PDF] ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

2301.02240] Skip-Attention: Improving Vision Transformers by Paying Less Attention

Frontiers High-throughput UAV-based rice panicle detection and genetic mapping of heading-date-related traits

Review — ConvNeXt: A ConvNet for the 2020s, by Sik-Ho Tsang

Recent Developments and Views on Computer Vision x Transformer, by Akihiro FUJII

NeurIPS 2023

Frontiers High-throughput UAV-based rice panicle detection and genetic mapping of heading-date-related traits

Implementing ConvNext in PyTorch.

Review — ConvNeXt: A ConvNet for the 2020s, by Sik-Ho Tsang

PDF] ConvNeXt V2: Co-designing and Scaling ConvNets with Masked

2304.12210] A Cookbook of Self-Supervised Learning

2205.08534] Vision Transformer Adapter for Dense Predictions