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 37263750 of 10420 papers

TitleStatusHype
Transfer Learning with Kernel Methods0
Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation0
IM-Loss: Information Maximization Loss for Spiking Neural Networks0
SAGE: Saliency-Guided Mixup with Optimal Rearrangements0
Improving Fairness in Image Classification via SketchingCode0
Generative Negative Text Replay for Continual Vision-Language Pretraining0
Studying inductive biases in image classification task0
L-GreCo: Layerwise-Adaptive Gradient Compression for Efficient and Accurate Deep LearningCode1
FatNet: High Resolution Kernels for Classification Using Fully Convolutional Optical Neural NetworksCode1
FI-ODE: Certifiably Robust Forward Invariance in Neural ODEsCode0
IM: An R-Package for Computation of Image Moments and Moment Invariants0
Distributed Black-box Attack: Do Not Overestimate Black-box AttacksCode0
Improving Chest X-Ray Classification by RNN-based Patient Monitoring0
Grafting Vision Transformers0
Contextual Learning in Fourier Complex Field for VHR Remote Sensing ImagesCode0
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active LearningCode0
A Generic Shared Attention Mechanism for Various Backbone Neural Networks0
Jointly Resampling and Reconstructing Corrupted Images for Image Classification using Frequency-Selective Mesh-to-Grid Resampling0
Text2Model: Text-based Model Induction for Zero-shot Image Classification0
Learning Location from Shared Elevation Profiles in Fitness Apps: A Privacy Perspective0
Neural Networks with Quantization ConstraintsCode0
One-Class Risk Estimation for One-Class Hyperspectral Image ClassificationCode1
Leveraging Computer Vision Application in Visual Arts: A Case Study on the Use of Residual Neural Network to Classify and Analyze Baroque Paintings0
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification0
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image ClassifiersCode0
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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