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 36713680 of 10420 papers

TitleStatusHype
Image Classification with Classic and Deep Learning TechniquesCode0
Image classification and retrieval with random depthwise signed convolutional neural networksCode0
EVA: Exploring the Limits of Masked Visual Representation Learning at ScaleCode0
Frequency maps reveal the correlation between Adversarial Attacks and Implicit BiasCode0
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious CorrelationCode0
Relation-Aware Global Attention for Person Re-identificationCode0
Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion modelsCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
Image-Caption Encoding for Improving Zero-Shot GeneralizationCode0
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation functionCode0
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 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