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Found 5 papers, 3 papers with code
PolyMaX: General Dense Prediction with Mask Transformer
Despite this shift, methods based on the per-pixel prediction paradigm still dominate the benchmarks on the other dense prediction tasks that require continuous outputs, such as depth estimation and surface normal prediction.
Ranked #2 on
Surface Normals Estimation
on NYU Depth v2
SANPO: A Scene Understanding, Accessibility, Navigation, Pathfinding, Obstacle Avoidance Dataset
All synthetic sessions and a subset of real sessions have temporally consistent dense panoptic segmentation labels.
MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised Domain Adaptation
Practical real world datasets with plentiful categories introduce new challenges for unsupervised domain adaptation like small inter-class discriminability, that existing approaches relying on domain invariance alone cannot handle sufficiently well.
Fine-Grained Visual Recognition
Unsupervised Domain Adaptation
Reducing Racial Bias in Facial Age Prediction using Unsupervised Domain Adaptation in Regression
Exploiting the ordinality of age, we also impose ranking constraints on the prediction of the model and design our model such that it takes as input a pair of images, and outputs both the relative age difference and the rank of the first identity with respect to the other in terms of their ages.
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation
Domain adaptation deals with training models using large scale labeled data from a specific source domain and then adapting the knowledge to certain target domains that have few or no labels.
