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 36513660 of 10420 papers

TitleStatusHype
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image ClassificationCode0
DED: Diagnostic Evidence Distillation for acne severity grading on face imagesCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
Err on the Side of Texture: Texture Bias on Real DataCode0
Image classification and retrieval with random depthwise signed convolutional neural networksCode0
Automatic Data Augmentation via Invariance-Constrained LearningCode0
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation functionCode0
Automatic Configuration of Deep Neural Networks with EGOCode0
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural NetworkCode0
Decoupled Greedy Learning of CNNsCode0
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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