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 35013510 of 10420 papers

TitleStatusHype
Thermal Heating in ReRAM Crossbar Arrays: Challenges and Solutions0
Sparse Mixture Once-for-all Adversarial Training for Efficient In-Situ Trade-Off Between Accuracy and Robustness of DNNs0
Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion RetrievalCode0
Langevin algorithms for very deep Neural Networks with application to image classificationCode0
Saliency-Augmented Memory Completion for Continual LearningCode0
Hyperspherical Loss-Aware Ternary Quantization0
LMFLOSS: A Hybrid Loss For Imbalanced Medical Image ClassificationCode0
Image Classification with Small Datasets: Overview and BenchmarkCode1
When are Lemons Purple? The Concept Association Bias of Vision-Language Models0
Reversible Column NetworksCode2
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified