Papers with Code · CC BY-SA 4.0
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.
<span class="description-source">Source: Metamorphic Testing for Object Detection Systems </span>
하위 태스크
FI
Few-Shot Image Classification
SI
Semi-Supervised Image Classification
FI
Fine-Grained Image Classification
SI
Self-Supervised Image Classification
LW
Learning with noisy labels
HI
Hyperspectral Image Classification
EV
Efficient ViTs
UI
Unsupervised Image Classification
SI
Sequential Image Classification
DI
Document Image Classification
SD
Small Data Image Classification
MI
Multi-Label Image Classification
PG
Photo geolocation estimation
CC
Concept-based Classification
SI
Satellite Image Classification
SI
Superpixel Image Classification
IC
Image Classification with Differential Privacy
OO
Out of Distribution (OOD) Detection
RT
Railway Track Image Classification
GC
Genre classification
SG
Scale Generalisation
TM
Temporal Metadata Manipulation Detection
AS
Artistic style classification
F+
Fruit-type + Maturity-state Prediction (Multi-label Classification)
GC
Gallbladder Cancer Detection
RV
Raw vs Ripe (Generic)
SR
Sparse Representation-based Classification
AC
Artist classification
CC
Classification Consistency
F+
Fruit-type + Maturity-state Prediction (Multi-label Classifivation)