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 41–50 of 10420 papers

TitleStatusHype
SeqPE: Transformer with Sequential Position EncodingCode1
Evaluating Cell Type Inference in Vision Language Models Under Varying Visual ContextCode0
Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs—0
Cross-architecture universal feature coding via distribution alignment—0
OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image ClassificationCode0
Graph Semi-Supervised Learning for Point Classification on Data Manifolds—0
MRI-CORE: A Foundation Model for Magnetic Resonance Imaging—0
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image AnalysisCode0
Boosting Adversarial Transferability for Hyperspectral Image Classification Using 3D Structure-invariant Transformation and Intermediate Feature Distance—0
SNR and Resource Adaptive Deep JSCC for Distributed IoT Image Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified