The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation | Paper Citation Record

Observation 3011c0b4-3ee6-4958-848a-d906068c3293 · outbound

This paper cites Semi-supervised semantic segmentation with pixel-level contrastive learning from a class-wise memory bank.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Semi-supervised semantic segmentation with pixel-level contrastive learning from a class-wise memory bank

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.295738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2e0e5d12-81d0-4ffa-aa0a-61d9b5a18283 · outbound

This paper cites Self-supervised augmentation consistency for adapting semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Self-supervised augmentation consistency for adapting semantic segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.282573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 43dac057-c05b-4ff2-b4a1-85488e9b3df6 · outbound

This paper cites Segnet: A deep convolutional encoder-decoder architecture for image segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Segnet: A deep convolutional encoder-decoder architecture for image segmentation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.268361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d7744654-f40d-40cc-b633-561440255f52 · outbound

This paper cites Adamatch: A unified approach to semi-supervised learning and domain adaptation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Adamatch: A unified approach to semi-supervised learning and domain adaptation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.252459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0cdffb8f-9a35-4104-8006-465b5c67d7aa · outbound

This paper cites Semi-supervised classification by low density separation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Semi-supervised classification by low density separation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.238593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 04ba6b49-db59-47bb-b4fd-25b9b668eee8 · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.221686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8d4ff5cf-51be-4fef-b14d-7c826453f0c6 · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.207763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 21bc163c-eab3-434d-a32a-2c2ba682888e · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.193341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b12e1528-2d24-4c87-b152-da66bda5564a · outbound

This paper cites Deliberated domain bridging for domain adaptive semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Deliberated domain bridging for domain adaptive semantic segmentation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.178050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c2ed8402-7381-43e9-a933-77ee92373c4e · outbound

This paper cites Semi-supervised domain adaptation based on dual-level domain mixing for semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Semi-supervised domain adaptation based on dual-level domain mixing for semantic segmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.163544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 24f62124-6320-4555-90c2-60adae07e8fa · outbound

This paper cites Semi-supervised semantic segmentation with cross pseudo supervision.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Semi-supervised semantic segmentation with cross pseudo supervision

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.147570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6ec20df3-6ad3-4d08-9409-cb87a9f5115d · outbound

This paper cites Randaugment: Practical automated data augmentation with a reduced search space.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Randaugment: Practical automated data augmentation with a reduced search space

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.128475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 672153ea-aa46-4ee5-b908-b96e23f017aa · outbound

This paper cites Ucc: Uncertainty guided cross-head co-training for semi-supervised semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Ucc: Uncertainty guided cross-head co-training for semi-supervised semantic segmentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.114461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f4897fe7-04f1-4e99-9f02-aad0456c6fd1 · outbound

This paper cites Semi-supervised semantic segmentation needs strong, varied perturbations.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Semi-supervised semantic segmentation needs strong, varied perturbations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:11.020105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ae7accf-7eb4-4192-840a-e19eb6e7f7b4 · outbound

This paper cites Domain-adversarial training of neural networks.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Domain-adversarial training of neural networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.098588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2d782714-a308-4ece-a60d-ded2dc94820e · outbound

This paper cites Multi-source domain adaptation with collaborative learning for semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Multi-source domain adaptation with collaborative learning for semantic segmentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.084411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d0e4cc6e-7638-4876-adae-4c4dd83c8b7b · outbound

This paper cites Cycada: Cycle-consistent adversarial domain adaptation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Cycada: Cycle-consistent adversarial domain adaptation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.069352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4daa5493-5aa5-42db-aa7c-88074b71204c · outbound

This paper cites Daformer: Improving network architectures and training strategies for domain-adaptive semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Daformer: Improving network architectures and training strategies for domain-adaptive semantic segmentation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.053783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7ee9bb5e-041f-430e-b514-f3893e05a73e · outbound

This paper cites Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:11.045440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20b6a487-6842-47d9-8eda-b12e1ae67c9f · outbound

This paper cites Hrda: Context-aware high-resolution domain-adaptive semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Hrda: Context-aware high-resolution domain-adaptive semantic segmentation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.040568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 77c4b592-5e65-4759-86ce-ce6b329afbe1 · outbound

This paper cites Guided collaborative training for pixel-wise semi-supervised learning.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Guided collaborative training for pixel-wise semi-supervised learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.023191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2a58dafe-6fd3-47fb-9037-947a2d913766 · outbound

This paper cites Attract, perturb, and explore: Learning a feature alignment network for semi-supervised domain adaptation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Attract, perturb, and explore: Learning a feature alignment network for semi-supervised domain adaptation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:12.009884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 13b34460-5763-4540-8cce-b8f85755a106 · outbound

This paper cites Semi-supervised semantic segmentation with error localization network.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Semi-supervised semantic segmentation with error localization network

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.997359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9fade373-47c0-4628-9642-21b86bb16367 · outbound

This paper cites Exploring high-quality target domain information for unsupervised domain adaptive semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Exploring high-quality target domain information for unsupervised domain adaptive semantic segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.977021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 27d1061b-d5aa-4f74-bb41-b0a867b8c0d2 · outbound

This paper cites Class-balanced pixel-level self-labeling for domain adaptive semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Class-balanced pixel-level self-labeling for domain adaptive semantic segmentation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.960708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 40dd9177-4d3e-40c5-96fe-ae84cb18a757 · outbound

This paper cites Bidirectional learning for domain adaptation of semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Bidirectional learning for domain adaptation of semantic segmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.944446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6a19e493-dd7f-4d3d-b454-7188a715a723 · outbound

This paper cites Adaptive early-learning correction for segmentation from noisy annotations.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Adaptive early-learning correction for segmentation from noisy annotations

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.931596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f6d15015-0117-48f3-9bc1-5d0864621cf7 · outbound

This paper cites Bootstrapping semantic segmentation with regional contrast.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Bootstrapping semantic segmentation with regional contrast

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.918650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e7a8e7c6-d35b-44ea-8a3f-cd5c1b5e1de4 · outbound

This paper cites Bapa-net: Boundary adaptation and prototype alignment for cross-domain semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Bapa-net: Boundary adaptation and prototype alignment for cross-domain semantic segmentation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.902627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eab0b36a-6d93-4a3b-bf0a-aa556ec0763d · outbound

This paper cites Perturbed and strict mean teachers for semi-supervised semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Perturbed and strict mean teachers for semi-supervised semantic segmentation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.887805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b88303a8-7aa9-43a6-8819-9c93cd1e3583 · outbound

This paper cites Instance adaptive self-training for unsupervised domain adaptation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Instance adaptive self-training for unsupervised domain adaptation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.873470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e4defa04-f4b3-48c3-a3ce-f1fae31d0335 · outbound

This paper cites Surprisingly simple semi-supervised domain adaptation with pretraining and consistency.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Surprisingly simple semi-supervised domain adaptation with pretraining and consistency

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.857999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7afe2d3e-2cff-4ac4-b0cd-b781433d64ff · outbound

This paper cites Classmix: Segmentation-based data augmentation for semi-supervised learning.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Classmix: Segmentation-based data augmentation for semi-supervised learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.841566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 566d632d-8f4c-40f9-be6a-c3861f1953cc · outbound

This paper cites Multi-scale and cross-scale contrastive learning for semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Multi-scale and cross-scale contrastive learning for semantic segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.825877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 208cc5d7-cf03-4854-b8c3-6e251900c8c2 · outbound

This paper cites Contradictory structure learning for semi-supervised domain adaptation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Contradictory structure learning for semi-supervised domain adaptation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.810293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b5436127-1729-4cb8-91a1-f0680084e652 · outbound

This paper cites Playing for data: Ground truth from computer games.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Playing for data: Ground truth from computer games

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.791702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0968c223-a4f8-4a1a-9d57-9f28821feedb · outbound

This paper cites Enhancing photorealism enhancement.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Enhancing photorealism enhancement

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.770581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9191fc0b-fd49-46d7-9132-4809e1e0c7a6 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation U-net: Convolutional networks for biomedical image segmentation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:11.160481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c604675-0b42-426a-af9e-3b2ef429b4ba · outbound

This paper cites The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.736110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f290cd42-66f1-453b-9fa3-03687ba611a9 · outbound

This paper cites Semi-supervised domain adaptation via minimax entropy.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Semi-supervised domain adaptation via minimax entropy

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.716315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a6ee3e37-0ac3-4861-9125-eae2d79f1a75 · outbound

This paper cites Tune it the right way: Unsupervised validation of domain adaptation via soft neighborhood density.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Tune it the right way: Unsupervised validation of domain adaptation via soft neighborhood density

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.695567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d3000995-0b94-42bd-96eb-197764a046cc · outbound

This paper cites Fixmatch: Simplifying semi-supervised learning with consistency and confidence.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Fixmatch: Simplifying semi-supervised learning with consistency and confidence

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.679529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 83bec2c5-094f-4e50-82c0-96a6e7f0bf5d · outbound

This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.666495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 276a6ed3-ec91-41cf-8250-0adaeff1cac7 · outbound

This paper cites The gist and rist of iterative self-training for semi-supervised segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation The gist and rist of iterative self-training for semi-supervised segmentation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.653403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f07a3f42-456c-4969-83c2-6f8dde9842ba · outbound

This paper cites Dacs: Domain adaptation via cross-domain mixed sampling.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Dacs: Domain adaptation via cross-domain mixed sampling

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.635780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 369fc6a5-2405-482e-9395-b572b011fea8 · outbound

This paper cites Guidedmix-net: Learning to improve pseudo masks using labeled images as reference.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Guidedmix-net: Learning to improve pseudo masks using labeled images as reference

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.617677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f58075d4-6a03-40f9-8a74-74e22e5a6b09 · outbound

This paper cites Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.601244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e5d07918-848c-4be3-a26e-8718b722244b · outbound

This paper cites Classes matter: A fine-grained adversarial approach to cross-domain semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Classes matter: A fine-grained adversarial approach to cross-domain semantic segmentation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.582934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c55c7149-e3f4-4da1-ac4e-a556d7bdf959 · outbound

This paper cites Exploring cross-image pixel contrast for semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Exploring cross-image pixel contrast for semantic segmentation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.566189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d06e052b-0585-4768-aa6a-0c27b9526134 · outbound

This paper cites Alleviating semantic-level shift: A semi-supervised domain adaptation method for semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Alleviating semantic-level shift: A semi-supervised domain adaptation method for semantic segmentation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.545607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 31b55d09-4a32-450b-a6d2-e5492687e7eb · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Segformer: Simple and efficient design for semantic segmentation with transformers

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.525395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7f5ea3b6-c291-47cf-845a-c1a78969f039 · outbound

This paper cites Self-training with noisy student improves imagenet classification.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Self-training with noisy student improves imagenet classification

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.508933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a3b5af12-14d9-4eeb-8dc8-22a95e718a7c · outbound

This paper cites Fda: Fourier domain adaptation for semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Fda: Fourier domain adaptation for semantic segmentation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.491015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9a0a5aae-eb2f-403e-a15d-0bb7f3a39d0a · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.472513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b3dd9ad8-7dce-48b4-8646-e1b20f1a4b02 · outbound

This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable features.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Cutmix: Regularization strategy to train strong classifiers with localizable features

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.455380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d20f5be5-5ac8-461b-9dd7-940bad7c7245 · outbound

This paper cites Prototypical pseudo label denoising and target structure learning for domain adaptive semantic segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Prototypical pseudo label denoising and target structure learning for domain adaptive semantic segmentation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.440462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e85724f1-49b7-4c11-8e5b-15e9d05a3205 · outbound

This paper cites Rethinking pre-training and self-training.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Rethinking pre-training and self-training

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.422996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f9849cba-8009-43a9-bc3f-46442becc216 · outbound

This paper cites Unsupervised domain adaptation for semantic segmentation via class-balanced self-training.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation Unsupervised domain adaptation for semantic segmentation via class-balanced self-training

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:11.406394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1427fcab-d174-48bf-a6d2-316f24e9816c · outbound

This paper cites PseudoSeg: Designing Pseudo Labels for Semantic Segmentation.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation PseudoSeg: Designing Pseudo Labels for Semantic Segmentation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:11.285338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee495ea2-f49a-4fee-ab83-8eaf94927736 · outbound

This paper cites write newline.

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation write newline

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:11.291914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers