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 961970 of 10420 papers

TitleStatusHype
One missing piece in Vision and Language: A Survey on Comics UnderstandingCode2
Real-world Adversarial Defense against Patch Attacks based on Diffusion ModelCode1
Anytime Continual Learning for Open Vocabulary ClassificationCode1
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering0
Pushing Joint Image Denoising and Classification to the Edge0
Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption0
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention MechanismsCode1
Microscopic-Mamba: Revealing the Secrets of Microscopic Images with Just 4M ParametersCode0
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning0
Classifying Images with CoLaNET Spiking Neural Network -- the MNIST Example0
Show:102550
← PrevPage 97 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