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 38813890 of 10420 papers

TitleStatusHype
Extended Bit-Plane Compression for Convolutional Neural Network AcceleratorsCode0
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud ClassifiersCode0
IDEA: Image Description Enhanced CLIP-AdapterCode0
I Bet You Did Not Mean That: Testing Semantic Importance via BettingCode0
AugStatic - A Light-Weight Image Augmentation LibraryCode0
Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment AnalysisCode0
Comb, Prune, Distill: Towards Unified Pruning for Vision Model CompressionCode0
iCAR: Bridging Image Classification and Image-text Alignment for Visual RecognitionCode0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
ImageNet Classification with Deep Convolutional Neural NetworksCode0
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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