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 25512560 of 10420 papers

TitleStatusHype
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning0
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive LearningCode1
Distance Matters For Improving Performance Estimation Under Covariate ShiftCode0
Robustness Stress Testing in Medical Image ClassificationCode0
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy MinimizationCode1
Contrastive Bi-Projector for Unsupervised Domain AdaptionCode0
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks0
SimMatchV2: Semi-Supervised Learning with Graph ConsistencyCode1
TorchQL: A Programming Framework for Integrity Constraints in Machine Learning0
Neural Networks at a Fraction with Pruned Quaternions0
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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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified