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 22012250 of 10419 papers

TitleStatusHype
Co-Tuning for Transfer LearningCode1
Contrastive Masked Autoencoders are Stronger Vision LearnersCode1
Iranis: A Large-scale Dataset of Farsi License Plate CharactersCode1
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial VehiclesCode1
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy LabelsCode1
It's All in the Head: Representation Knowledge Distillation through Classifier SharingCode1
Invariant Information Clustering for Unsupervised Image Classification and SegmentationCode1
Controllable Orthogonalization in Training DNNsCode1
Introspective Deep Metric Learning for Image RetrievalCode1
Invariant Risk MinimizationCode1
A Bregman Learning Framework for Sparse Neural NetworksCode1
Mask Guided Attention For Fine-Grained Patchy Image ClassificationCode1
Match Them Up: Visually Explainable Few-shot Image ClassificationCode1
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare RecordsCode1
Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual KnowledgeCode1
DeepMIM: Deep Supervision for Masked Image ModelingCode1
Interpreting and Correcting Medical Image Classification with PIP-NetCode1
Invariant Risk Minimization GamesCode1
Interpretable Image Classification with Adaptive Prototype-based Vision TransformersCode1
Interpretable Image Classification with Differentiable Prototypes AssignmentCode1
A Survey on Transferability of Adversarial Examples across Deep Neural NetworksCode1
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without TricksCode1
Abstracting Deep Neural Networks into Concept Graphs for Concept Level InterpretabilityCode1
Deep Multimodal Guidance for Medical Image ClassificationCode1
Interpretable Medical Image Classification using Prototype Learning and Privileged InformationCode1
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision ModelsCode1
AGI-Elo: How Far Are We From Mastering A Task?Code1
Deep Network Ensemble Learning applied to Image Classification using CNN TreesCode1
Convolution-enhanced Evolving Attention NetworksCode1
Interpretable Image Classification via Non-parametric Part Prototype LearningCode1
OccamNet: A Fast Neural Model for Symbolic Regression at ScaleCode1
Meta-Adapter: An Online Few-shot Learner for Vision-Language ModelCode1
Deep Polynomial Neural NetworksCode1
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image ClassificationCode1
Investigating and Explaining the Frequency Bias in Image ClassificationCode1
Deep Prototypical Networks with Hybrid Residual Attention for Hyperspectral Image ClassificationCode1
JigsawHSI: a network for Hyperspectral Image classificationCode1
Knowledge Distillation Using Hierarchical Self-Supervision Augmented DistributionCode1
Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image ClassificationCode1
Local Window Attention Transformer for Polarimetric SAR Image ClassificationCode1
AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecksCode1
DeepVoxNet2: Yet another CNN frameworkCode1
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex NetworkCode1
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry OptimizationCode1
Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksCode1
Deep Roto-Translation Scattering for Object ClassificationCode1
Convolutional Spiking Neural Networks for Spatio-Temporal Feature ExtractionCode1
Convolutional Xformers for VisionCode1
On Minimum Discrepancy Estimation for Deep Domain AdaptationCode1
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and GenerationCode1
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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