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 5175 of 10419 papers

TitleStatusHype
ResNeSt: Split-Attention NetworksCode3
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation ImageryCode3
ONE-PEACE: Exploring One General Representation Model Toward Unlimited ModalitiesCode3
QOC: Quantum On-Chip Training with Parameter Shift and Gradient PruningCode3
MTP: Advancing Remote Sensing Foundation Model via Multi-Task PretrainingCode3
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation ModelsCode3
MobileNetV4 -- Universal Models for the Mobile EcosystemCode3
Datasets: A Community Library for Natural Language ProcessingCode3
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition TasksCode3
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile DevicesCode3
MiniViT: Compressing Vision Transformers with Weight MultiplexingCode3
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked ModelingCode3
MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMsCode3
Momentum Contrast for Unsupervised Visual Representation LearningCode3
Patches Are All You Need?Code3
SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation ModelsCode3
Cascade Prompt Learning for Vision-Language Model AdaptationCode3
MaxViT: Multi-Axis Vision TransformerCode3
MetaFormer Baselines for VisionCode3
Ludwig: a type-based declarative deep learning toolboxCode3
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive SurveyCode3
FusionBench: A Comprehensive Benchmark of Deep Model FusionCode3
Falcon: A Remote Sensing Vision-Language Foundation ModelCode3
FastViT: A Fast Hybrid Vision Transformer using Structural ReparameterizationCode3
AutoAugment: Learning Augmentation Policies from DataCode3
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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