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 45514575 of 10420 papers

TitleStatusHype
Robust Cross-Modal Representation Learning with Progressive Self-Distillation0
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic ReviewCode1
Representation Learning by Detecting Incorrect Location EmbeddingsCode0
Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates0
Knowledge-Free Black-Box Watermark and Ownership Proof for Image Classification Neural Networks0
Neuronal diversity can improve machine learning for physics and beyondCode0
Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products0
Does Robustness on ImageNet Transfer to Downstream Tasks?0
A Survey of Supernet Optimization and its Applications: Spatial and Temporal Optimization for Neural Architecture Search0
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification0
Multi-Sample ζ-mixup: Richer, More Realistic Synthetic Samples from a p-Series Interpolant0
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors0
DaViT: Dual Attention Vision TransformersCode2
Solving ImageNet: a Unified Scheme for Training any Backbone to Top ResultsCode2
Total Variation Optimization Layers for Computer VisionCode1
Unified Contrastive Learning in Image-Text-Label SpaceCode2
MixFormer: Mixing Features across Windows and DimensionsCode0
Universal Representations: A Unified Look at Multiple Task and Domain LearningCode1
CAIPI in Practice: Towards Explainable Interactive Medical Image Classification0
Banana Sub-Family Classification and Quality Prediction using Computer Vision0
Contextual Attention Mechanism, SRGAN Based Inpainting System for Eliminating Interruptions from Images0
Fine-Grained Predicates Learning for Scene Graph GenerationCode1
Real-time Hyperspectral Imaging in Hardware via Trained Metasurface EncodersCode1
LatentGAN Autoencoder: Learning Disentangled Latent Distribution0
MetaAudio: A Few-Shot Audio Classification BenchmarkCode1
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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