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 40014010 of 10420 papers

TitleStatusHype
TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation0
MABViT -- Modified Attention Block Enhances Vision Transformers0
Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines0
A Comprehensive Study of Vision Transformers in Image Classification Tasks0
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer0
PipeOptim: Ensuring Effective 1F1B Schedule with Optimizer-Dependent Weight PredictionCode0
Improving Normalization with the James-Stein Estimator0
Physics Inspired Criterion for Pruning-Quantization Joint LearningCode0
Developmental Pretraining (DPT) for Image Classification NetworksCode0
Benchmarking Multi-Domain Active Learning on Image Classification0
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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