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 421430 of 10419 papers

TitleStatusHype
Provably Near-Optimal Federated Ensemble Distillation with Negligible OverheadCode0
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation0
From Image to Video: An Empirical Study of Diffusion Representations0
Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction UncertaintyCode1
Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated LearningCode0
Efficient Global Neural Architecture SearchCode0
Interpretable Failure Detection with Human-Level Concepts0
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers0
Training-free Neural Architecture Search through Variance of Knowledge of Deep Network WeightsCode0
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality InversionCode2
Show:102550
← PrevPage 43 of 1042Next →

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