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 10111020 of 10420 papers

TitleStatusHype
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic SegmentationCode0
Real-Time Weather Image Classification with SVMCode0
Data Augmentation for Image Classification using Generative AI0
How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks?0
Incremental Open-set Domain Adaptation0
Instant Adversarial Purification with Adversarial Consistency Distillation0
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification0
Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba TrainingCode1
Statistical Analysis of the Impact of Quaternion Components in Convolutional Neural Networks0
Tex-ViT: A Generalizable, Robust, Texture-based dual-branch cross-attention deepfake detector0
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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