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 23212330 of 10420 papers

TitleStatusHype
TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search0
Efficient Model-Agnostic Multi-Group Equivariant Networks0
Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy ContinuationCode0
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification0
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningCode7
Subspace Adaptation Prior for Few-Shot LearningCode0
PaLI-3 Vision Language Models: Smaller, Faster, StrongerCode1
Fusion framework and multimodality for the Laplacian approximation of Bayesian neural networks0
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks0
Self-supervised visual learning for analyzing firearms trafficking activities on the Web0
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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