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 11261150 of 10420 papers

TitleStatusHype
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image ClassificationCode1
Better plain ViT baselines for ImageNet-1kCode1
DocXClassifier: High Performance Explainable Deep Network for Document Image ClassificationCode1
Does VLM Classification Benefit from LLM Description Semantics?Code1
A Less Biased Evaluation of Out-of-distribution Sample DetectorsCode1
Active Token MixerCode1
Benchmarking Test-Time Adaptation against Distribution Shifts in Image ClassificationCode1
Domain Generalization by Learning and Removing Domain-specific FeaturesCode1
AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecksCode1
Beyond Categorical Label Representations for Image ClassificationCode1
Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement FilteringCode1
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse TrainingCode1
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object DetectionCode1
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label NoiseCode1
Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNetCode1
DPT: Deformable Patch-based Transformer for Visual RecognitionCode1
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharingCode1
Asymmetric Polynomial Loss For Multi-Label ClassificationCode1
Adaptive Token Sampling For Efficient Vision TransformersCode1
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural NetworksCode1
A Call to Reflect on Evaluation Practices for Failure Detection in Image ClassificationCode1
Attack of the Tails: Yes, You Really Can Backdoor Federated LearningCode1
Bias Loss for Mobile Neural NetworksCode1
Revisiting the Importance of Amplifying Bias for DebiasingCode1
DKDFN: Domain Knowledge-Guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover 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
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