SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Showing 41114120 of 10420 papers

TitleStatusHype
TransCL: Transformer Makes Strong and Flexible Compressive LearningCode1
Robust Scene Inference under Noise-Blur Dual Corruptions0
Spatial-Channel Token Distillation for Vision MLPsCode0
SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling0
Online Knowledge Distillation via Mutual Contrastive Learning for Visual RecognitionCode1
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation0
Do Perceptually Aligned Gradients Imply Adversarial Robustness?Code0
Deep transfer learning method based on automatic domain alignment and moment matchingCode0
Efficient CNN Architecture Design Guided by VisualizationCode0
TinyViT: Fast Pretraining Distillation for Small Vision Transformers0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified