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 20712080 of 10420 papers

TitleStatusHype
Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual FeaturesCode1
Diagnosing Colorectal Polyps in the Wild with Capsule NetworksCode1
Sparse Weight Activation TrainingCode1
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning NetworkCode1
Discrimination-aware Network Pruning for Deep Model CompressionCode1
A Neural Dirichlet Process Mixture Model for Task-Free Continual LearningCode1
Automated Relational Meta-learningCode1
Towards Accurate Post-training Network Quantization via Bit-Split and StitchingCode1
Understanding Contrastive Representation Learning through Geometry on the HypersphereCode1
Transductive Zero-Shot Learning for 3D Point Cloud ClassificationCode1
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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