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 19912000 of 10420 papers

TitleStatusHype
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN TicketCode3
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment0
Lightweight Adaptive Feature De-drifting for Compressed Image Classification0
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual ClassificationCode0
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training0
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control0
Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity TrainingCode1
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification0
Fair-VPT: Fair Visual Prompt Tuning for Image Classification0
Transductive Zero-Shot and Few-Shot CLIPCode1
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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
10RevCol-HTop 1 Accuracy90Unverified