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Found 12 papers, 6 papers with code
Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection
To address this issue, we propose a Spatial-Frequency Dynamic Graph method to exploit the relation-aware features in spatial and frequency domains via dynamic graph learning.
Reconciling Object-Level and Global-Level Objectives for Long-Tail Detection
Specifically, complementary to the object-level classification loss for model discrimination, we design a generalized average precision (GAP) loss to explicitly optimize the global-level score ranking across different objects.
Label-Occurrence-Balanced Mixup for Long-tailed Recognition
When applying mixup to long-tailed data, a label suppression issue arises, where the frequency of label occurrence for each class is imbalanced and most of the new examples will be completely or partially assigned with head labels.
RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection
We classify the discontinuity of loss in both five-param and eight-param rotated object detection methods as rotation sensitivity error (RSE) which will result in performance degeneration.
Towards Fine-grained 3D Face Dense Registration: An Optimal Dividing and Diffusing Method
This method is then extended to 3D surface by formulating a local registration problem for dividing and a linear least-square problem for diffusing, with constraints on fixed features.
Balanced Knowledge Distillation for Long-tailed Learning
Existing methods usually modify the classification loss to increase the learning focus on tail classes, which unexpectedly sacrifice the performance on head classes.
Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification
Most existing person re-identification methods compute pairwise similarity by extracting robust visual features and learning the discriminative metric.
PCA-SRGAN: Incremental Orthogonal Projection Discrimination for Face Super-resolution
Generative Adversarial Networks (GAN) have been employed for face super resolution but they bring distorted facial details easily and still have weakness on recovering realistic texture.
Identification of splicing edges in tampered image based on Dichromatic Reflection Model
Therefore we present a novel optic-physical method to discriminate splicing edges from natural edges in a tampered image.
Learning Modulated Loss for Rotated Object Detection
Popular rotated detection methods usually use five parameters (coordinates of the central point, width, height, and rotation angle) to describe the rotated bounding box and l1-loss as the loss function.
Ranked #43 on
Object Detection In Aerial Images
on DOTA
(using extra training data)
Dense Semantic and Topological Correspondence of 3D Faces without Landmarks
The dense correspondence goal is revisited in two perspectives: semantic and topological correspondence.
Key Person Aided Re-identification in Partially Ordered Pedestrian Set
Ideally person re-identification seeks for perfect feature representation and metric model that re-identify all various pedestrians well in non-overlapping views at different locations with different camera configurations, which is very challenging.
